Danial Ahangarani

Machine Learning Researcher | Developing AI Solutions for Scientific and Real-World Challenges

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Education

• Toefl (Overall 102)

        - Reading 28
        - Listening 28
        - Speaking 22
        - Writing 24   
                    

• M.Sc. of Computer Engineering (AI and Bioinformatics), Sharif University of Technology. GPA: 18.17(3.87 out of 4)
    Thesis: Data-driven based methods to design anticancer drugs to target Kras

Selected Courses:
                - Structural Bioinformatics 20/20 
                - Machine Learning in Bioinformatics 19.7/20 
                - Computational Drug Design 19.4 
                - Medical Image Processing 18.3/20        
                - Probability and Statistics 18/20
                    

• Bachelor's degree in Computer Science (Minor: Cinema-Directing), Shahid Beheshti University and Applied Science & Tech University.

Papers

Ahangarani, Danial, Mohammad Shirazi, and Navid Ashraf. "Investigating Deep Neural Network Architecture and Feature Extraction Designs for Sensor-based Human Activity Recognition." Proceedings of the 2023 7th International Conference on Internet of Things and Applications (IoT), IEEE, 2023, pp. 1-6.
GitHub Link Paper Link

Teaching Assistant

- Fall 2023: Intelligent Processing of Biomedical Images at Sharif University of Technology.
- Spring 2023: Data Structures and Algorithms at Sharif University of Technology.

Skills

Computer skills
• Python
    - Tensorflow, Keras, PyTorch, and Hugging Face
    - Numpy and Pandas
    - Matplotlib, Plotly
    - Scikit-learn, SciPy, OpenCV, NLTK
• Bio
    - BioPython
    - RDKit                
• Intermediate R, Java, C and C++ Knowledge
• Familiar with HTML/CSS
• MySQL
• Git/GitHub
• Linux, Windows, OS X


Otehrs
• Probability and Statistics
• Molecular Biology
• Latex and Microsoft Office
• Academic Writing
                        

Certifications

• Supervised Machine Learning: Regression and Classification
• Adavanced Learning Algorithms
• Unsupervised Learning, Recommenders, Reinforcement Learning
• Mathematics for Machine Learning Specialization
• Advanced python programming and object-oriented thinking course

Projects

Human Activity Recognition
• Investigation Deep Neural Network in Human Activity Recognition

Machine Learning
• Breast Cancer Prediction
• Estimating obesity levels based on eating habits and physical conditions of an individual
• Spectral Clustering
• Liver Disease Classification

Deep Learning
• Classification for Brain Cancer MRI Images
• CNN-based model for a multi-class classification task, brain abnormality classification
• Image Captioning
• Image Semantic Segmentation
• Medical Image Registration Using Voxelmorph
• Multilayer Perceptron for DOROTHEA (a drug discovery dataset)
• Single-Cell RNA Sequencing Analysis
• Generating MNIST digits with variational autoencoder
• Classification and Interpretation for Xray Images
• Classification of MRI images with Alexnet plus contrastive learning

Artificial Intelligence
• Connect Four game
• Tackling the knapspack problem with a genetic algorithm
• N-gram Language Model
• Naive Bayes Classifier

Signal Processing
• Exploring methods for sharpening images

Structural Bioinformatics
• Procedures to work with protein pdb file in tcl language

Interests

• Machine Learning
• NLP & Computer Vision
• Medical Image Analysis
• Computational Biology
                    

Awards

• Ranked 56 among more than 30,000 participants in the nation-wide universities entrance exam for Computer Engineering - IRAN
• Ranked 45 among more than 5,000 participants in the nation-wide universities entrance exam for Computer Science - IRAN